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ICCBR
2005
Springer
16 years 4 days ago
CBR for Modeling Complex Systems
This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require...
Rosina Weber, Jason M. Proctor, Ilya Waldstein, An...
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
16 years 3 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
ECML
2007
Springer
16 years 24 days ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
SEC
1996
15 years 8 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
INTERSPEECH
2010
15 years 1 months ago
Combining user intention and error modeling for statistical dialog simulators
Statistical user simulation is an efficient and effective way to train and evaluate the performance of a (spoken) dialog system. In this paper, we design and evaluate a modular da...
Silvia Quarteroni, Meritxell González, Gius...